The US and China have agreed to an official AI dialogue. US Treasury Secretary Bessent also proposed a notification mechanism for AI incidents at the…
Category: AI
SynthDemo-RL: Breaking the Zero-Reward Barrier in VLA Adaptation with LLM-Guided Synthetic Demonstrations
arXiv:2609.21650v1 Announce Type: cross Abstract: Fine-tuning Vision-Language-Action (VLA) models commonly relies on human teleoperation demonstrations,…
Apple Siri AI Settlement Opens Claims to Eligible iPhone Owners
Eligible iPhone owners in the United States can begin submitting claims on September 21, 2026, in the $250 million settlement of Landsheft v. Apple Inc.,…
Samsone: A Family of Open Small Audio Language Models for On-Device Inference
arXiv:2609.21666v1 Announce Type: cross Abstract: The success of Large Audio Language Models has driven the development of massive multimodal networks…
Steering LLMs Responses Towards Moral Foundations on the Norwegian MFQ-30
arXiv:2609.21636v1 Announce Type: cross Abstract: Recent work applies human psychometric questionnaires to large language models to elicit moral and value…
Micro-Collaborative Poisoning: A Distributed Attack on RAG Systems
arXiv:2609.21573v1 Announce Type: cross Abstract: Retrieval-Augmented Generation (RAG) improves large language models by grounding outputs in external…
Simbe Tops 3,000 Autonomous Units in Its Shelf-Intelligence Fleet
Simbe Robotics announced on September 21, 2026 that it has surpassed 3,000 autonomous units under contract, which the company described as the largest…
GameLogicBench: Evaluating Coding Agents on Runtime Game Logic with Tick-Level State Assertions
arXiv:2609.21562v1 Announce Type: cross Abstract: Coding agents can modify and test code across large software projects. Game development is a domain…
How V7 gives AI agents institutional memory
Using GPT-5.6, V7 turns scattered company files into context agents can use to complete complex, source-linked work.
Potential-Field Action Representation for Reinforcement Learning in Contact-Rich Manipulation
arXiv:2609.21609v1 Announce Type: cross Abstract: Model-free reinforcement learning can acquire contact-rich robotic manipulation skills through…